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Smart city article details
| Title | A Multi-Objective Optimization Model For Bike-Sharing |
|---|---|
| ID_Doc | 2835 |
| Authors | Shan Y.; Xie D.; Zhang R. |
| Year | 2019 |
| Published | ACM International Conference Proceeding Series |
| DOI | http://dx.doi.org/10.1145/3377170.3377175 |
| Abstract | The study proposes a multi-objective optimization model for bike-sharing industry by monitoring, with high accuracy, the user demand and providing the suitable number of bikes at selected stations. One of the key factors for designing an optimized bike sharing system is to balance the demand of pick-ups (drop-offs) around a given station and the number of available bikes (vacant lockers) in the station throughout the day. The model optimizes the location of bicycle stations and the number of parking slots that each station should have by taking account of the main contributing factors including the total budget of the bike sharing system, the popularity of riding in the city, and the expected proximity of the stations. A case study using the bike-sharing in New York was conducted to test theeffectiveness of themodel. © 2019 Association for Computing Machinery. |
| Author Keywords | Bike sharing systems; Parking slots; Sharing economy; Traveling cost; Unmet demand |
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